PayPal

Senior Machine Learning Engineer

PayPal

full-time

Posted on:

Location Type: Hybrid

Location: Bangalore • 🇮🇳 India

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Job Level

Senior

Tech Stack

PythonPyTorchScikit-LearnTensorflow

About the role

  • Develop and optimize machine learning models for various applications.
  • Preprocess and analyze large datasets to extract meaningful insights.
  • Deploy ML solutions into production environments using appropriate tools and frameworks.
  • Collaborate with cross-functional teams to integrate ML models into products and services.
  • Monitor and evaluate the performance of deployed models.

Requirements

  • Strong proficiency in Python for data analysis, machine learning, and automation.
  • Solid understanding of supervised and unsupervised AI/machine learning methods (e.g., XGBoost, LightGBM, Random Forest, clustering, isolation forests, autoencoders, neural networks, transformer-based architectures).
  • Experience in payment fraud, AML, KYC, or broader risk modeling within fintech or financial institutions.
  • Experience developing and deploying ML models in production using frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.
  • Hands-on experience with LLMs (e.g., OpenAI, LLaMA, Claude, Mistral), including use of prompt engineering, retrieval-augmented generation (RAG), and agentic AI to support internal automation and risk workflows.
  • Ability to work cross-functionally with engineering, product, compliance, and operations teams.
  • Proven track record of translating complex ML insights into business actions or policy decisions.
Benefits
  • Flexible work environment
  • Employee shares options
  • Health and life insurance
  • Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Pythonmachine learningdata analysisXGBoostLightGBMRandom Forestscikit-learnTensorFlowPyTorchLLMs
Soft skills
collaborationcross-functional teamworkcommunicationproblem-solvinganalytical thinking
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